blueThe RL environment starts approaching the state space scale of environments tested in the original DQN paper [1]} and thus we adopt its default parameters for the experiments. The exploration fraction was set to \(0.1\) , the target Q network is updated every 10,000 training steps and we train for 150,000. The primary adjustment is the use of 256 as the batch size.
